Triple
T11005086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visible Speech alphabet |
E260096
|
entity |
| Predicate | intendedToBe |
P32577
|
FINISHED |
| Object | universal alphabet |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: universal alphabet | Statement: [Visible Speech alphabet, intendedToBe, universal alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedToBe Context triple: [Visible Speech alphabet, intendedToBe, universal alphabet]
-
A.
intendedWith
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
-
B.
intendsTo
Indicates that one entity has the purpose, plan, or desire to perform an action involving another entity or outcome.
-
C.
isSupposedToBe
chosen
Indicates that something is expected or intended to have a particular state, quality, or role, whether or not it actually does.
-
D.
intendedToCreate
Indicates that one entity performed an action or was designed with the purpose or goal of bringing another entity into existence or causing it to come about.
-
E.
intendedToServe
Indicates that one entity was designed, planned, or purposed specifically to benefit, assist, or fulfill the needs of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797562de4819097a0e136180d283a |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.